This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
social media | 2154 |
social distancing | 1523 |
public health | 919 |
mental health | 882 |
social support | 738 |
health care | 588 |
social isolation | 525 |
older adults | 448 |
social networks | 381 |
social capital | 303 |
social network | 297 |
media use | 255 |
united states | 254 |
social work | 214 |
machine learning | 213 |
fake news | 209 |
media platforms | 198 |
social workers | 177 |
social determinants | 176 |
cord uid | 175 |
doc id | 175 |
young people | 173 |
older people | 162 |
social relations | 159 |
hong kong | 153 |
risk perception | 148 |
social interactions | 147 |
health services | 146 |
health promotion | 145 |
climate change | 145 |
physical activity | 143 |
copyright holder | 138 |
systematic review | 138 |
risk factors | 136 |
made available | 136 |
author funder | 134 |
granted medrxiv | 134 |
infectious diseases | 131 |
infectious disease | 130 |
international license | 128 |
online social | 127 |
version posted | 126 |
world health | 126 |
perceived social | 126 |
family members | 125 |
developing countries | 125 |
physical health | 124 |
life satisfaction | 123 |
social relationships | 123 |
health outcomes | 121 |
social risk | 120 |
social interaction | 118 |
social systems | 117 |
social security | 116 |
big data | 115 |
social participation | 110 |
data collection | 109 |
social tipping | 109 |
health problems | 109 |
sex offenders | 108 |
coronavirus disease | 107 |
social indicators | 106 |
social protection | 105 |
human rights | 103 |
may also | 103 |
distancing measures | 102 |
sleep quality | 102 |
social distance | 98 |
health organization | 98 |
online communication | 96 |
social networking | 95 |
media users | 93 |
health status | 93 |
present study | 91 |
future research | 90 |
social frailty | 89 |
respiratory syndrome | 88 |
new york | 86 |
social presence | 85 |
health issues | 84 |
care workers | 83 |
antibiotic resistance | 81 |
medrxiv preprint | 80 |
social sciences | 79 |
age group | 78 |
social connectedness | 78 |
population density | 78 |
global health | 77 |
hiv aids | 76 |
social norms | 76 |
tipping processes | 74 |
prefrontal cortex | 74 |
literature review | 73 |
previous studies | 72 |
data analysis | 72 |
false information | 72 |
depressive symptoms | 71 |
physical distancing | 71 |
many countries | 70 |
primary care | 69 |
health professionals | 69 |
higher levels | 69 |
health systems | 68 |
among older | 67 |
social connections | 67 |
social good | 67 |
medical care | 67 |
ai systems | 67 |
acute respiratory | 67 |
psychological distress | 66 |
may lead | 66 |
one another | 66 |
internal consistency | 65 |
longitudinal study | 65 |
distancing behavior | 65 |
social change | 64 |
social cohesion | 64 |
social movements | 64 |
structural equation | 63 |
social learning | 63 |
questionable content | 62 |
socioeconomic status | 62 |
information sharing | 62 |
entrepreneurial entry | 62 |
social science | 62 |
cruise ship | 61 |
time spent | 61 |
income countries | 61 |
using social | 61 |
chronic pain | 61 |
many people | 60 |
severe acute | 60 |
total number | 59 |
emergency management | 59 |
chronic disease | 59 |
current study | 58 |
community health | 58 |
business model | 58 |
later life | 58 |
peer review | 58 |
health system | 58 |
thalassemia major | 57 |
motor alignment | 57 |
social welfare | 57 |
network size | 57 |
traditional media | 56 |
scoping review | 55 |
networking sites | 55 |
business models | 55 |
current pandemic | 55 |
even though | 54 |
social justice | 54 |
social anxiety | 54 |
news articles | 54 |
human beings | 54 |
social behavior | 54 |
interpersonal motor | 54 |
national health | 53 |
social energy | 53 |
unemployment insurance | 53 |
unverified information | 52 |
trust propensity | 52 |
general population | 52 |
social services | 52 |
preventive behaviors | 52 |
sectional study | 52 |
social environment | 52 |
novel coronavirus | 52 |
decision making | 52 |
positive effect | 52 |
healthy aging | 51 |
public policy | 51 |
care system | 51 |
qualitative research | 51 |
vulnerable groups | 51 |
negative emotions | 51 |
risk perceptions | 51 |
differential susceptibility | 51 |
health risks | 50 |
social group | 50 |
health insurance | 50 |
social evaluation | 50 |
artificial intelligence | 50 |
domestic violence | 50 |
social assistance | 50 |
care services | 50 |
social cognition | 50 |
case study | 50 |
less likely | 50 |
natural disasters | 49 |
large number | 49 |
social factors | 49 |
health risk | 49 |
new public | 49 |
sample size | 49 |
high levels | 48 |
socially isolated | 48 |
social enterprises | 48 |
epidemic outbreak | 48 |
child abuse | 48 |
academic performance | 48 |
emotional support | 47 |
may help | 47 |
disaster management | 47 |
social identity | 47 |
crisis management | 47 |
recent years | 47 |
risk amplification | 47 |
important role | 47 |
offline social | 47 |
generational differences | 46 |
low social | 46 |
health information | 46 |
people living | 46 |
collective action | 46 |
preventive behavior | 46 |
different social | 45 |
social groups | 45 |
age groups | 45 |
mass media | 45 |
medial prefrontal | 45 |
research priorities | 45 |
beta thalassemia | 44 |
risk communication | 44 |
one hand | 44 |
social problem | 44 |
population health | 44 |
among people | 44 |
behaviour change | 44 |
included studies | 43 |
statistically significant | 43 |
social insurance | 43 |
negative emotional | 43 |
social life | 43 |
health workers | 43 |
smartphone distraction | 43 |
medical staff | 43 |
social problems | 43 |
chronic diseases | 43 |
weak ties | 43 |
emotional climate | 42 |
offline retail | 42 |
social constructionist | 42 |
will also | 41 |
problematic social | 41 |
aboriginal children | 41 |
safety climate | 41 |
network analysis | 41 |
disease control | 41 |
health consequences | 41 |
sex offender | 41 |
coronavirus pandemic | 41 |
policy makers | 41 |
media data | 41 |
disease transmission | 41 |
urban areas | 40 |
health needs | 40 |
prior research | 40 |
united nations | 40 |
rights reserved | 40 |
infection rate | 40 |
years old | 40 |
living alone | 40 |
health behaviors | 40 |
social atoms | 40 |
social exclusion | 40 |
high risk | 40 |
social well | 40 |
higher scores | 40 |
previous research | 39 |
intensive care | 39 |
health service | 39 |
health policy | 39 |
heart disease | 39 |
point likert | 39 |
social context | 39 |
daily life | 39 |
positive effects | 38 |
future studies | 38 |
lifespan perspective | 38 |
clinical medicine | 38 |
public opinion | 38 |
social pressure | 38 |
group membership | 38 |
rejection sensitivity | 38 |
health crisis | 38 |
social structure | 38 |
local area | 38 |
community members | 38 |
nursing homes | 38 |
service providers | 37 |
creative commons | 37 |
social activities | 37 |
randomized controlled | 37 |
developed countries | 37 |
ship employees | 37 |
internet use | 37 |
best practices | 37 |
data mining | 37 |
poster sessions | 37 |
drug use | 37 |
social contact | 37 |
media platform | 37 |
sustainable development | 37 |
posted july | 37 |
media companies | 37 |
behavior change | 36 |
data sources | 36 |
better understand | 36 |
constructionist perspective | 36 |
united kingdom | 36 |
healthy living | 36 |
human development | 36 |
disease prevention | 36 |
data collected | 36 |
psychological impact | 36 |
drug users | 36 |
smartphone use | 36 |
cardiovascular disease | 36 |
make sense | 35 |
contact tracing | 35 |
suicide risk | 35 |
animal abuse | 35 |
global pandemic | 35 |
social ties | 35 |
action control | 35 |
increased risk | 35 |
ai ethics | 35 |
research questions | 34 |
clinical practice | 34 |
per day | 34 |
higher rates | 34 |
two weeks | 34 |
van der | 34 |
automatic imitation | 34 |
common good | 34 |
disease outbreaks | 34 |
health interventions | 34 |
via social | 34 |
personal identity | 34 |
health measures | 34 |
information field | 34 |
cohort study | 34 |
sexual abuse | 34 |
security benefits | 34 |
information regarding | 34 |
lessons learned | 34 |
social policy | 34 |
special issue | 34 |
viral shedding | 33 |
general public | 33 |
rated health | 33 |
wide range | 33 |
information overload | 33 |
better understanding | 33 |
online survey | 33 |
social scientists | 33 |
healthcare system | 33 |
daily living | 33 |
world bank | 33 |
vaccination strategies | 33 |
across different | 33 |
emotional contagion | 33 |
authors declare | 33 |
work practice | 33 |
positively associated | 33 |
social medicine | 33 |
control measures | 33 |
conceptual framework | 33 |
epidemic protection | 33 |
everyday life | 32 |
media exposure | 32 |
will need | 32 |
past behavior | 32 |
controlled trial | 32 |
million people | 32 |
critical care | 32 |
rural areas | 32 |
use social | 32 |
risk factor | 32 |
anxiety disorder | 32 |
different types | 32 |
life events | 32 |
will help | 32 |
social robots | 32 |
content analysis | 32 |
local level | 32 |
conspiracy theories | 32 |
total score | 32 |
least one | 32 |
south africa | 32 |
forecasting process | 32 |
prosocial behavior | 31 |
higher risk | 31 |
cognitive load | 31 |
negative effects | 31 |
new media | 31 |
middle east | 31 |
health authorities | 31 |
risk youth | 31 |
negative consequences | 31 |
substance use | 31 |
equation modeling | 31 |
posted may | 31 |
disease outbreak | 31 |
social pharmacy | 31 |
indirect effects | 31 |
local community | 31 |
social system | 31 |
sustainable entrepreneurs | 31 |
personal protective | 30 |
factor analysis | 30 |
mortality rates | 30 |
increased social | 30 |
health research | 30 |
attitude toward | 30 |
situational awareness | 30 |
media post | 30 |
optimal control | 30 |
social competence | 30 |
urban social | 30 |
social lives | 30 |
hate speech | 30 |
human social | 30 |
urban health | 30 |
existing social | 30 |
see table | 30 |
also found | 30 |
day labourers | 30 |
infection rates | 30 |
different countries | 30 |
human behavior | 30 |
give rise | 30 |
group size | 30 |
vulnerable counties | 30 |
interaction patterns | 29 |
distancing policies | 29 |
significant differences | 29 |
new social | 29 |
theoretical framework | 29 |
local containment | 29 |
empirical evidence | 29 |
healthy eating | 29 |
social movement | 29 |
likert scale | 29 |
focus groups | 29 |
tipping elements | 29 |
young adults | 29 |
health conditions | 29 |
care providers | 29 |
biological aging | 29 |
informed consent | 29 |
social brain | 29 |
among others | 29 |
see chapter | 29 |
recent study | 29 |
social amplification | 29 |
mobile phone | 29 |
will continue | 29 |
inner city | 29 |
economic growth | 29 |
health effects | 29 |
based approach | 28 |
significantly associated | 28 |
confirmed cases | 28 |
retail smes | 28 |
information exchange | 28 |
informal caregivers | 28 |
high level | 28 |
stress resilience | 28 |
term care | 28 |
human life | 28 |
civil society | 28 |
psychological science | 28 |
institutional logics | 28 |
years ago | 28 |
york city | 28 |
network members | 28 |
social influence | 28 |
one health | 28 |
focus group | 28 |
assessed using | 28 |
mental illness | 28 |
behavioral responses | 28 |
echo chamber | 28 |
life course | 28 |
table shows | 28 |
see also | 28 |
face mask | 28 |
specific social | 28 |
cohort effects | 28 |
research methodology | 28 |
predicted covid | 28 |
health centre | 27 |
group members | 27 |
political system | 27 |
based social | 27 |
individual health | 27 |
old age | 27 |
health sector | 27 |
location data | 27 |
coping styles | 27 |
social resilience | 27 |
internet multitasking | 27 |
communicable diseases | 27 |
critically ill | 27 |
management system | 27 |
news media | 27 |
results show | 27 |
mindful attention | 27 |
low income | 27 |
law enforcement | 27 |
community support | 27 |
criminal justice | 27 |
posted june | 27 |
mediating role | 27 |
lived experience | 27 |
food insecurity | 26 |
various social | 26 |
east respiratory | 26 |
air pollution | 26 |
wenchuan earthquake | 26 |
effect size | 26 |
takes place | 26 |
high school | 26 |
pharmacy practice | 26 |
might also | 26 |
older adult | 26 |
positive social | 26 |
may provide | 26 |
protective equipment | 26 |
medical services | 26 |
social conditions | 26 |
street youth | 26 |
indicators research | 26 |
individual differences | 26 |
european union | 26 |
primary health | 26 |
corona virus | 26 |
one study | 26 |
climate tipping | 26 |
care systems | 26 |
social organizations | 26 |
qualitative data | 26 |
lifelong learning | 26 |
younger adults | 26 |
subjective well | 26 |
action observation | 26 |
mers crisis | 26 |
social big | 25 |
different levels | 25 |
social care | 25 |
early childhood | 25 |
based interventions | 25 |
sns use | 25 |
research team | 25 |
logistic regression | 25 |
social inequalities | 25 |
income security | 25 |
network structure | 25 |
fit index | 25 |
qualitative study | 25 |
physical performance | 25 |
poor health | 25 |
take place | 25 |
social bonds | 25 |
linear regression | 25 |
eye care | 25 |
nose syndrome | 25 |
perceived understanding | 25 |
clinical social | 25 |
factors associated | 25 |
online vigilance | 25 |
higher level | 25 |
dwelling older | 25 |
mental disorders | 25 |
emotion regulation | 25 |
commonly used | 25 |
medical insurance | 25 |
neural network | 25 |
moral sensitivity | 25 |
health social | 25 |
south korea | 25 |
many social | 25 |
blood pressure | 25 |
conceptual model | 24 |
mental wellbeing | 24 |
digital media | 24 |
every day | 24 |
study also | 24 |
research design | 24 |
share information | 24 |
risk assessment | 24 |
different forms | 24 |
child maltreatment | 24 |
key role | 24 |
mobile phones | 24 |
confidence interval | 24 |
negative evaluation | 24 |
shared situational | 24 |
tipping points | 24 |
first time | 24 |
group memberships | 24 |
low levels | 24 |
personal control | 24 |
home confinement | 24 |
study assistance | 24 |
cognitive functioning | 24 |
loved ones | 24 |
one example | 24 |
economic development | 23 |
missing data | 23 |
phase transitions | 23 |
many cases | 23 |
social health | 23 |
regression models | 23 |
health inequalities | 23 |
health education | 23 |
will lead | 23 |
welfare state | 23 |
tipping dynamics | 23 |
high rates | 23 |
starting point | 23 |
generalized anxiety | 23 |
sir model | 23 |
local public | 23 |
emotional responses | 23 |
study found | 23 |
long term | 23 |
individual level | 23 |
service delivery | 23 |
public goods | 23 |
use among | 23 |
new ways | 23 |
lower levels | 23 |
healthcare professionals | 23 |
nan doi | 23 |
need satisfaction | 23 |
less social | 23 |
social worker | 23 |
higher social | 23 |
psychological well | 23 |
older age | 23 |
findings suggest | 23 |
significantly higher | 23 |
per week | 23 |
healthcare providers | 23 |
economic systems | 23 |
attitudes toward | 23 |
network sites | 22 |
item scale | 22 |
three main | 22 |
social contacts | 22 |
risk behaviours | 22 |
may influence | 22 |
north america | 22 |
health among | 22 |
also help | 22 |
taken together | 22 |
human societies | 22 |
social connection | 22 |
results showed | 22 |
improve health | 22 |
psychological health | 22 |
substance abuse | 22 |
case studies | 22 |
point scale | 22 |
family need | 22 |
value change | 22 |
digital platforms | 22 |
research methods | 22 |
information diffusion | 22 |
depth interviews | 22 |
construct validity | 22 |
universal health | 22 |
real time | 22 |
particularly important | 22 |
disaster relief | 22 |
among individuals | 22 |
social technology | 22 |
ecological economics | 22 |
nuclear power | 22 |
health doi | 22 |
pet ownership | 22 |
older adulthood | 22 |
young children | 22 |
first step | 22 |
data annotation | 22 |
making process | 22 |
social impact | 22 |
cultural selection | 22 |
college students | 22 |
scientific knowledge | 22 |
care partners | 22 |
human health | 22 |
acute stress | 22 |
study social | 22 |
supplemental table | 22 |
social mobility | 22 |
supplementary material | 22 |
will provide | 21 |
pregnant women | 21 |
social risks | 21 |
least squares | 21 |
health emergency | 21 |
healthcare services | 21 |
social entrepreneurship | 21 |
study participants | 21 |
open access | 21 |
social cognitive | 21 |
socially constructed | 21 |
physical frailty | 21 |
gender differences | 21 |
recent studies | 21 |
first century | 21 |
research suggests | 21 |
news sharing | 21 |
instrumental support | 21 |
media tools | 21 |
urban poor | 21 |
study conducted | 21 |
child health | 21 |
infected individuals | 21 |
two main | 21 |
future work | 21 |
perceived personal | 21 |
distancing behaviors | 21 |
natural sciences | 21 |
ill patients | 21 |
face interactions | 21 |
psychosocial burden | 21 |
individuals may | 21 |
hiv prevention | 21 |
traumatic stress | 21 |
commons licence | 21 |
research model | 21 |
different ways | 21 |
widely used | 21 |
gain medium | 21 |
practice competencies | 21 |
another example | 21 |
avian influenza | 21 |
help us | 21 |
may contribute | 21 |
social development | 21 |
participation network | 21 |
psychometric properties | 21 |
african american | 21 |
bottom line | 21 |
social world | 21 |
health communication | 21 |
results suggest | 21 |
identity strength | 21 |
pandemic influenza | 21 |
mental models | 21 |
individuals living | 21 |
care unit | 21 |
development goals | 21 |
environmental influences | 20 |
race ethnicity | 20 |
increasing number | 20 |
health problem | 20 |
living conditions | 20 |
limited resources | 20 |
negative impact | 20 |
marital status | 20 |
social resources | 20 |
public sector | 20 |
study showed | 20 |
robotic pets | 20 |
second wave | 20 |
toward epidemic | 20 |
breast cancer | 20 |
different groups | 20 |
medical demands | 20 |
antimicrobial resistance | 20 |
research project | 20 |
psychological scientists | 20 |
youth development | 20 |
mediating effect | 20 |
care facilities | 20 |
health behavior | 20 |
social atom | 20 |
economic status | 20 |
social solidarity | 20 |
nationally representative | 20 |
mutual aid | 20 |
health inequities | 20 |
parasite dynamics | 20 |
two years | 20 |
otitis media | 20 |
emerging infectious | 20 |
social rejection | 20 |
labor market | 20 |
measured using | 20 |
financial crisis | 20 |
social engagement | 20 |
independent variables | 20 |
confidence intervals | 20 |
disaster prevention | 20 |
controlled trials | 20 |
mers knowledge | 20 |
small number | 20 |
sentiment analysis | 20 |
also need | 20 |
intervention studies | 20 |
among different | 20 |
social laser | 20 |
study design | 20 |
also provide | 20 |
vulnerable populations | 20 |
herd immunity | 20 |
also important | 20 |
food security | 20 |
effect sizes | 20 |
will require | 20 |
maintain social | 20 |
presentation will | 20 |
model fit | 20 |
positive coping | 20 |
moral panic | 20 |
term social | 20 |
capacity building | 20 |
spiritual logic | 20 |
three key | 19 |
positive impact | 19 |
across countries | 19 |
life expectancy | 19 |
i will | 19 |
social inequality | 19 |
current situation | 19 |
medical good | 19 |
problematic sns | 19 |
social foundation | 19 |
deficient self | 19 |
health science | 19 |
tipping process | 19 |
next section | 19 |
health literacy | 19 |
mobility data | 19 |
adults aged | 19 |
many different | 19 |
cognitive health | 19 |
pay attention | 19 |
pain management | 19 |
empirical research | 19 |
prior work | 19 |
primary prevention | 19 |
also used | 19 |
new computers | 19 |
public spaces | 19 |
suspected child | 19 |
help people | 19 |
european countries | 19 |
educational level | 19 |
time period | 19 |
virtual reality | 19 |
coping style | 19 |
health agencies | 19 |
root mean | 19 |
education level | 19 |
may increase | 19 |
evidence suggests | 19 |
empirical studies | 19 |
chinese government | 19 |
social service | 19 |
larger social | 19 |
social construction | 19 |
healthcare workers | 19 |
pilot study | 19 |
information technology | 19 |
social programs | 19 |
four items | 19 |
neural correlates | 19 |
spent away | 19 |
fixed effects | 19 |
early detection | 19 |
specific health | 19 |
environmental factors | 19 |
robotic pet | 19 |
therapeutic relationships | 19 |
among adults | 19 |
social progress | 19 |
media may | 19 |
early life | 19 |
community development | 19 |
vice versa | 19 |
companion animals | 19 |
rapid review | 18 |
scale ranging | 18 |
growth rate | 18 |
digital transformation | 18 |
government agencies | 18 |
integral part | 18 |
social strain | 18 |
building blocks | 18 |
also reported | 18 |
risk management | 18 |
moral panics | 18 |
collected data | 18 |
coronary heart | 18 |
time periods | 18 |
harm reduction | 18 |
times per | 18 |
people will | 18 |
financial support | 18 |
will likely | 18 |
control group | 18 |
analytic review | 18 |
recent work | 18 |
various forms | 18 |
lifespan development | 18 |
stress response | 18 |
animal cruelty | 18 |
brain development | 18 |
term consequences | 18 |
internet access | 18 |
psychological effects | 18 |
moral stress | 18 |
critical role | 18 |
county level | 18 |
last two | 18 |
i think | 18 |
social phenomena | 18 |
health disparities | 18 |
among health | 18 |
physical contact | 18 |
child protection | 18 |
significantly related | 18 |
depressed mood | 18 |
ml systems | 18 |
direct effect | 18 |
twentieth century | 18 |
last years | 18 |
social inclusion | 18 |
new technologies | 18 |
service provision | 18 |
box save | 18 |
significant effect | 18 |
media content | 18 |
brain regions | 18 |
negative effect | 18 |
expert assessment | 18 |
knowledge sharing | 18 |
intervention group | 18 |
health equity | 18 |
mixed methods | 18 |
factor structure | 18 |
economic logic | 18 |
health practice | 18 |
based research | 18 |
positive relationship | 18 |
physical environment | 18 |
per cent | 18 |
containment areas | 18 |
death rates | 18 |
syndrome coronavirus | 18 |
low perceived | 18 |
posted october | 17 |
financial markets | 17 |
significantly lower | 17 |
distancing initiatives | 17 |
patient care | 17 |
local health | 17 |
policy change | 17 |
limited access | 17 |
empirical data | 17 |
urban communities | 17 |
many years | 17 |
systems theory | 17 |
mediation effect | 17 |
interaction effects | 17 |
interview data | 17 |
resistance genes | 17 |
academic achievements | 17 |
new forms | 17 |
echo chambers | 17 |
control strategies | 17 |
long run | 17 |
care needs | 17 |
health symptoms | 17 |
ecological systems | 17 |
protection programs | 17 |
social issues | 17 |
take advantage | 17 |
significant positive | 17 |
epidemiological models | 17 |
information systems | 17 |
quantum information | 17 |
significant difference | 17 |
dummy variable | 17 |
ventral striatum | 17 |
systematic reviews | 17 |
studies suggest | 17 |
greater risk | 17 |
health departments | 17 |
strongly disagree | 17 |
companion pet | 17 |
earth system | 17 |
promote health | 17 |
social integration | 17 |
urban settings | 17 |
convoy model | 17 |
available data | 17 |
home orders | 17 |
online platforms | 17 |
mediation effects | 17 |
pandemic may | 17 |
mobile device | 17 |
provide information | 17 |
economic factors | 17 |
health officials | 17 |
well known | 17 |
population mobility | 17 |
southeast asia | 17 |
cash transfers | 17 |
per person | 17 |
health survey | 17 |
global warming | 17 |
data analytics | 17 |
risk groups | 17 |
complex systems | 17 |
time series | 17 |
significant impact | 17 |
indirect effect | 17 |
science research | 17 |
using data | 17 |
personal data | 17 |
instant messaging | 17 |
allows us | 17 |
economic circumstances | 17 |
also showed | 17 |
individual behavior | 17 |
mean square | 17 |
fixit clinic | 17 |
default mode | 17 |
protective measures | 17 |
media usage | 17 |
one person | 17 |
negative coping | 17 |
ethics committee | 17 |
saharan africa | 17 |
significantly greater | 17 |
population groups | 17 |
face masks | 17 |
th century | 17 |
grounded theory | 17 |
stress responses | 17 |
network governance | 16 |
business activity | 16 |
demographic data | 16 |
reserve capacity | 16 |
strong ties | 16 |
first two | 16 |
future directions | 16 |
per month | 16 |
coping strategies | 16 |
may feel | 16 |
ethnic minority | 16 |
social structures | 16 |
health policies | 16 |
risk group | 16 |
health indicators | 16 |
public awareness | 16 |
including social | 16 |
nursing home | 16 |
aboriginal communities | 16 |
political participation | 16 |
national level | 16 |
scale scores | 16 |
studies reported | 16 |
one must | 16 |
elderly people | 16 |
life social | 16 |
urgent need | 16 |
loneliness may | 16 |
research findings | 16 |
demographic characteristics | 16 |
urgently needed | 16 |
will allow | 16 |
also provides | 16 |
long time | 16 |
immune system | 16 |
local governments | 16 |
across time | 16 |
must also | 16 |
potential benefits | 16 |
cognitive impairment | 16 |
current social | 16 |
vast majority | 16 |
sars outbreak | 16 |
support networks | 16 |
anxiety scale | 16 |
social status | 16 |
negative social | 16 |
insurance system | 16 |
social action | 16 |
critical exchange | 16 |
also known | 16 |
data set | 16 |
emergency response | 16 |
studies conducted | 16 |
media fatigue | 16 |
influenza pandemic | 16 |
civic engagement | 16 |
publicly available | 16 |
executive functioning | 16 |
negative impacts | 16 |
signifi cant | 16 |
higher education | 16 |
san francisco | 16 |
three types | 16 |
two types | 16 |
der meulen | 16 |
cardiovascular diseases | 16 |
future benefits | 16 |
daily activities | 16 |
perceived stress | 16 |
support services | 16 |
preventive measures | 16 |
longitudinal studies | 16 |
per year | 16 |
circular economy | 16 |
political economy | 16 |
family relationships | 16 |
pandemic crisis | 16 |
will increase | 16 |
old children | 16 |
innovation transfer | 16 |
pandemic will | 16 |
privacy concerns | 16 |
travel restrictions | 16 |
take action | 16 |
goes beyond | 16 |
new business | 16 |
distancing orders | 16 |
new zealand | 16 |
cervical cancer | 16 |
mean age | 16 |
sexually transmitted | 16 |
media posts | 16 |
confinement period | 16 |
environmental conditions | 16 |
strongly agree | 16 |
university students | 16 |
natural ecosystems | 16 |
coronavirus risk | 16 |
cognitive processes | 16 |
social bonding | 16 |
anxiety symptoms | 16 |
march th | 16 |
current covid | 16 |
terrorist attacks | 16 |
text mining | 15 |
much higher | 15 |
day labour | 15 |
media sites | 15 |
risks associated | 15 |
trichuris sp | 15 |
mental well | 15 |
among children | 15 |
younger people | 15 |
cognitive function | 15 |
another study | 15 |
total population | 15 |
existing literature | 15 |
among adolescents | 15 |
latent variables | 15 |
global climate | 15 |
forecasting social | 15 |
sierra leone | 15 |
internet users | 15 |
adults living | 15 |
based model | 15 |
human behaviour | 15 |
social needs | 15 |
crisis communication | 15 |
emotional reactions | 15 |
reported loneliness | 15 |
feeling lonely | 15 |
current research | 15 |
public good | 15 |
family member | 15 |
relationships among | 15 |
physical distance | 15 |
risk taking | 15 |
sustainability transitions | 15 |
neural networks | 15 |
generational groups | 15 |
awareness knowledge | 15 |
will take | 15 |
digital technology | 15 |
received social | 15 |
digital age | 15 |
community social | 15 |
distancing data | 15 |
group differences | 15 |
us sample | 15 |
communication platforms | 15 |
five years | 15 |
deeper understanding | 15 |
human right | 15 |
social policies | 15 |
pharmaceutical interventions | 15 |
community services | 15 |
examples include | 15 |
global social | 15 |
social entrepreneurs | 15 |
may result | 15 |
new opportunities | 15 |
role played | 15 |
individual physical | 15 |
phenotypic age | 15 |
significant predictors | 15 |
public transportation | 15 |
psychological intervention | 15 |
news article | 15 |
influence health | 15 |
technological forecasting | 15 |
better health | 15 |
look like | 15 |
aged years | 15 |
public risk | 15 |
mainland china | 15 |
private sector | 15 |
research question | 15 |
emergency preparedness | 15 |
mortality rate | 15 |
learning systems | 15 |
foreign policy | 15 |
communication technologies | 15 |
large social | 15 |
social identities | 15 |
information society | 15 |
charitable organizations | 15 |
issues related | 15 |
social order | 15 |
descriptive statistics | 15 |
homeless people | 15 |
social consequences | 15 |
covariate adjustment | 15 |
psychological problems | 15 |
irn surplus | 15 |
may impact | 15 |
smoking cessation | 15 |
peer influence | 15 |
cognitive decline | 15 |
health programs | 15 |
quarantine period | 15 |
mask wearing | 15 |
grocery stores | 15 |
receipt platform | 15 |
misinformation sharing | 15 |
adverse effects | 15 |
support received | 15 |
independent variable | 15 |
partial least | 15 |
industrialized countries | 15 |
risk reduction | 15 |
random sampling | 15 |
social event | 15 |
social dynamics | 14 |
lower risk | 14 |
nature remains | 14 |
high degree | 14 |
following hypothesis | 14 |
current health | 14 |
sexual assault | 14 |
two decades | 14 |
triple bottom | 14 |
early stages | 14 |
health questionnaire | 14 |
institutional affiliations | 14 |
based data | 14 |
healthy people | 14 |
using qualitative | 14 |
literature search | 14 |
many others | 14 |
people tend | 14 |
related information | 14 |
i believe | 14 |
stock market | 14 |
normative democracy | 14 |
relevant information | 14 |
people use | 14 |
data science | 14 |
facial recognition | 14 |
higher score | 14 |
among community | 14 |
living initiatives | 14 |
employment status | 14 |
collect data | 14 |
aboriginal populations | 14 |
persons living | 14 |
attitudes towards | 14 |
ill health | 14 |
public policies | 14 |
strong social | 14 |
nineteenth century | 14 |
community capacity | 14 |
promote social | 14 |
path analysis | 14 |
los angeles | 14 |
mediation model | 14 |
social innovation | 14 |
patient health | 14 |
friendship network | 14 |
structured interviews | 14 |
national security | 14 |
i found | 14 |
also contribute | 14 |
sectional survey | 14 |
current crisis | 14 |
statistical significance | 14 |
aged adults | 14 |
improving health | 14 |
creating new | 14 |
environmental health | 14 |
power plants | 14 |
mediated communication | 14 |
mass index | 14 |
note springer | 14 |
information flow | 14 |
making sense | 14 |
care partner | 14 |
psychological stress | 14 |
information retrieval | 14 |
health protection | 14 |
equally important | 14 |
human services | 14 |
dependent variable | 14 |
policy development | 14 |
study aimed | 14 |
available online | 14 |
mechanisms underlying | 14 |
qualitatively different | 14 |
whether social | 14 |
phase transition | 14 |
data hunger | 14 |
media addiction | 14 |
body mass | 14 |
animal welfare | 14 |
environmental impacts | 14 |
springer nature | 14 |
health implications | 14 |
resource allocation | 14 |
participants reported | 14 |
international organizations | 14 |
health organisation | 14 |
social psychology | 14 |
remains neutral | 14 |
prolonged isolation | 14 |
torres strait | 14 |
predictor variables | 14 |
support may | 14 |
behavior among | 14 |
public sphere | 14 |
presidential election | 14 |
ethnic groups | 14 |
supply chains | 14 |
become part | 14 |
random sample | 14 |
mitigation strategies | 14 |
family ties | 14 |
proposed model | 14 |
adverse health | 14 |
risk domain | 14 |
disease surveillance | 14 |
collective victimisation | 14 |
methods used | 14 |
worth noting | 14 |
crucial role | 14 |
animal relationships | 14 |
research process | 14 |
data source | 14 |
political parties | 14 |
medical education | 14 |
per se | 14 |
local government | 14 |
problematic internet | 14 |
whether participants | 14 |
health benefits | 14 |
published maps | 14 |
years later | 14 |
pet owners | 14 |
provide social | 14 |
information mirror | 14 |
social processes | 14 |
sars epidemic | 14 |
representative agent | 14 |
wide variety | 14 |
older generations | 14 |
real estate | 14 |
hiv infection | 14 |
demographic variables | 14 |
jurisdictional claims | 14 |
cultural differences | 14 |
social experiences | 14 |
social constructions | 14 |
international health | 14 |
analysis using | 14 |
unintended consequences | 14 |
social comparison | 14 |
registered sex | 14 |
used social | 14 |
two groups | 14 |
among young | 14 |
occupational health | 14 |
information excitations | 14 |
participants completed | 14 |
personal information | 14 |
two different | 14 |
school closures | 14 |
economic effects | 14 |
variable named | 14 |
data sets | 14 |
reproductive health | 13 |
public debate | 13 |
social sympathy | 13 |
large companies | 13 |
health impacts | 13 |
asian msm | 13 |
safety net | 13 |
systems dynamics | 13 |
several studies | 13 |
average social | 13 |
problem solving | 13 |
short time | 13 |
international journal | 13 |
soc sci | 13 |
african americans | 13 |
last decade | 13 |
digital technologies | 13 |
national governments | 13 |
also shown | 13 |
technology use | 13 |
people live | 13 |
comparative study | 13 |
social impacts | 13 |
population flows | 13 |
distancing grade | 13 |
new urban | 13 |
community level | 13 |
underlying social | 13 |
participants also | 13 |
social logics | 13 |
internet addiction | 13 |
one might | 13 |
cognitive performance | 13 |
platforms like | 13 |
public healthcare | 13 |
positive covid | 13 |
risk managers | 13 |
social data | 13 |
randomised controlled | 13 |
like social | 13 |
social adm | 13 |
gene expression | 13 |
measured loneliness | 13 |
many studies | 13 |
behavioral change | 13 |
include social | 13 |
research agenda | 13 |
north american | 13 |
care delivery | 13 |
media might | 13 |
least two | 13 |
following sections | 13 |
real world | 13 |
three items | 13 |
longitudinal data | 13 |
accurate information | 13 |
life skills | 13 |
political solidarity | 13 |
drug abuse | 13 |
based initiatives | 13 |
neighbourhood thriving | 13 |
contextual factors | 13 |
paradigm shift | 13 |
historical context | 13 |
membership continuity | 13 |
supply chain | 13 |
alpha coefficient | 13 |
action research | 13 |
critical theory | 13 |
significant role | 13 |
personal social | 13 |
phone calls | 13 |
personal values | 13 |
nervous system | 13 |
future social | 13 |
leading causes | 13 |
care professionals | 13 |
recent research | 13 |
emotional distress | 13 |
search terms | 13 |
make decisions | 13 |
high social | 13 |
ottawa charter | 13 |
psychological vulnerabilities | 13 |
res social | 13 |
thematic analysis | 13 |
kidney disease | 13 |
time horizon | 13 |
human agency | 13 |
poor social | 13 |
may include | 13 |
sample sizes | 13 |
cause mortality | 13 |
female baboons | 13 |
emotional content | 13 |
coronavirus cases | 13 |
prosocial helping | 13 |
standard errors | 13 |
come together | 13 |
heart failure | 13 |
social supports | 13 |
essential services | 13 |
active living | 13 |
unique opportunity | 13 |
injection drug | 13 |
entrepreneurial process | 13 |
data will | 13 |
strait islander | 13 |
great deal | 13 |
two questions | 13 |
strongly associated | 13 |
loneliness among | 13 |
communication technology | 13 |
assistance programmes | 13 |
among many | 13 |
new normal | 13 |
healthy cities | 13 |
online health | 13 |
health issue | 13 |
positively correlated | 13 |
particularly relevant | 13 |
mode network | 13 |
period effects | 13 |
qualitative aspects | 13 |
large numbers | 13 |
many aspects | 13 |
local communities | 13 |
mining techniques | 13 |
social effects | 13 |
current state | 13 |
practical implications | 13 |
economic crisis | 13 |
positive feedback | 13 |
study will | 13 |
better mental | 13 |
health professional | 13 |
performance diffusion | 13 |
cumulative culture | 13 |
commons attribution | 13 |
exploratory factor | 13 |
household income | 13 |
economic conditions | 13 |
human resources | 13 |
rudolph zacher | 13 |
preventive medicine | 13 |
previous literature | 13 |
adm pharm | 13 |
embedded within | 13 |
news reports | 13 |
low risk | 13 |
system dynamics | 13 |
parameter estimates | 13 |
public safety | 13 |
next step | 13 |
visual abstracts | 13 |
local social | 13 |
third party | 13 |
findings show | 13 |
location history | 13 |
network associates | 13 |
state reopenings | 13 |
final score | 13 |
knowledge transfer | 13 |
item social | 13 |
social responses | 13 |
another important | 13 |
large scale | 13 |
theoretical model | 13 |
problematic smartphone | 13 |
future pandemics | 13 |
broad range | 13 |
latin america | 13 |
ethical climate | 13 |
i feel | 13 |
welfare logic | 13 |
learning algorithms | 13 |
social value | 13 |
constructed realities | 13 |
human capital | 13 |
york times | 13 |
among chinese | 13 |
stress levels | 13 |
social practices | 13 |
working together | 13 |
high quality | 13 |
factors influencing | 13 |
empirical findings | 13 |
psychological outcomes | 13 |
community groups | 13 |
natural language | 13 |
many ways | 13 |
broader social | 13 |
reflective learning | 13 |
control variables | 13 |
new immigrants | 13 |
among women | 13 |
life experiences | 13 |
present value | 13 |
given day | 13 |
scientific research | 13 |
several limitations | 12 |
across social | 12 |
social contexts | 12 |
new youth | 12 |
health action | 12 |
cultural practices | 12 |
life stress | 12 |
brain activity | 12 |
individual patients | 12 |
health response | 12 |
especially important | 12 |
individual mental | 12 |
social enterprise | 12 |
risk behaviors | 12 |
renewable energy | 12 |
transfer process | 12 |
individual social | 12 |
generational research | 12 |
health approaches | 12 |
collective behavior | 12 |
previous work | 12 |
leisure activities | 12 |
health approach | 12 |
media coverage | 12 |
studies examining | 12 |
across multiple | 12 |
professional organizations | 12 |
labor markets | 12 |
social information | 12 |
health community | 12 |
took place | 12 |
psychological interventions | 12 |
positive emotions | 12 |
partner violence | 12 |
key areas | 12 |
hubei province | 12 |
online communities | 12 |
value proposition | 12 |
close contact | 12 |
direct contact | 12 |
identifi ed | 12 |
social situations | 12 |
anxiety disorders | 12 |
might seem | 12 |
scoping reviews | 12 |
paris agreement | 12 |
analysis showed | 12 |
whole population | 12 |
intervention strategies | 12 |
tobacco smoke | 12 |
results indicate | 12 |
rate ratios | 12 |
mutual support | 12 |
sick leave | 12 |
ten years | 12 |
emotion norms | 12 |
new knowledge | 12 |
studies using | 12 |
two studies | 12 |
working memory | 12 |
community organizations | 12 |
health coverage | 12 |
social grooming | 12 |
close friends | 12 |
three subgroups | 12 |
level social | 12 |
data across | 12 |
european political | 12 |
infected people | 12 |
crisis situations | 12 |
mathematical models | 12 |
socioeconomic factors | 12 |
foreign variables | 12 |
sustainable lifestyles | 12 |
paper will | 12 |
older persons | 12 |
related factors | 12 |
mortality among | 12 |
subjective loneliness | 12 |
representative sample | 12 |
educational attainment | 12 |
determine whether | 12 |
different parts | 12 |
year follow | 12 |
address social | 12 |
data processing | 12 |
qualitative analysis | 12 |
neural activity | 12 |
specific risk | 12 |
sn soc | 12 |
system will | 12 |
mortality risk | 12 |
significant relationship | 12 |
much social | 12 |
things like | 12 |
citizen participation | 12 |
proposed framework | 12 |
technological barriers | 12 |
also lead | 12 |
review board | 12 |
prior studies | 12 |
square error | 12 |
cultural evolution | 12 |
psychiatric disorders | 12 |
overall social | 12 |
paramount importance | 12 |
social partner | 12 |
sustainable business | 12 |
will focus | 12 |
met criteria | 12 |
coronavirus outbreak | 12 |
contact frequency | 12 |
i also | 12 |
related quality | 12 |
information may | 12 |
may reduce | 12 |
indicators movement | 12 |
new coronavirus | 12 |
statistical analyses | 12 |
one week | 12 |
economic recovery | 12 |
risk subscale | 12 |
zoonotic disease | 12 |
empirical study | 12 |
retirement accounts | 12 |
field notes | 12 |
widely accepted | 12 |
posted november | 12 |
social benefits | 12 |
growing body | 12 |
living arrangements | 12 |
key stakeholders | 12 |
space mobility | 12 |
good health | 12 |
learning process | 12 |
birth year | 12 |
political agenda | 12 |
previous findings | 12 |
agent approach | 12 |
pittsburgh sleep | 12 |
first place | 12 |
important aspect | 12 |
chronological age | 12 |
healthcare systems | 12 |
based models | 12 |
evidence base | 12 |
age range | 12 |
world war | 12 |
clinical trials | 12 |
gas emissions | 12 |
hurricane katrina | 12 |
chinese population | 12 |
intimate partner | 12 |
may affect | 12 |
driving force | 12 |
younger generations | 12 |
behavioural science | 12 |
epidemic spread | 12 |
social cure | 12 |
tell us | 12 |
neural responses | 12 |
surge capacity | 12 |
urban centers | 12 |
provide support | 12 |
unwanted sexual | 12 |
motor resonance | 12 |
using different | 12 |
go beyond | 12 |
social environments | 12 |
regression analysis | 12 |
important implications | 12 |
quality index | 12 |
cousin couples | 12 |
may serve | 12 |
reduce social | 12 |
medical knowledge | 12 |
staying home | 12 |
standard deviation | 12 |
greenhouse gas | 12 |
may explain | 12 |
causal relationships | 12 |
eastern europe | 12 |
affect health | 12 |
brings together | 12 |
maternity colonies | 12 |
social responsibility | 12 |
study variables | 12 |
public perception | 11 |
national social | 11 |
sex workers | 11 |
equation models | 11 |
protection measures | 11 |
suicidal ideation | 11 |
alcohol consumption | 11 |
health threats | 11 |
closely related | 11 |
tertiary prevention | 11 |
may cause | 11 |
within social | 11 |
mis disinformation | 11 |
social gatherings | 11 |
interpersonal synchrony | 11 |
community involvement | 11 |
provided social | 11 |
mobile devices | 11 |
coping planning | 11 |
health targets | 11 |
may arise | 11 |
intermittent social | 11 |
institutional complexity | 11 |
global economy | 11 |
essential businesses | 11 |
classified participants | 11 |
multiple social | 11 |
collective actions | 11 |
instrumental activities | 11 |
policy implications | 11 |
brown bats | 11 |
social conflict | 11 |
improved health | 11 |
three months | 11 |
pandemic response | 11 |
ethical issues | 11 |
individual development | 11 |
participants rated | 11 |
economic system | 11 |
th percentile | 11 |
digital divide | 11 |
global scale | 11 |
randomly selected | 11 |
past two | 11 |
negatively affected | 11 |
distancing duration | 11 |
may require | 11 |
create new | 11 |
automated systems | 11 |
ijerph sha | 11 |
chinese social | 11 |
results also | 11 |
british columbia | 11 |
studies show | 11 |
relatively small | 11 |
social distanced | 11 |
metropolitan areas | 11 |
information provided | 11 |
deep learning | 11 |
ethical values | 11 |
upper bound | 11 |
inform future | 11 |
new possibilities | 11 |
physical space | 11 |
moving forward | 11 |
knowledge regarding | 11 |
direct effects | 11 |
dependent variables | 11 |
management strategies | 11 |
secondary prevention | 11 |
psychological support | 11 |
task force | 11 |
search engines | 11 |
perspective offers | 11 |
generational thinking | 11 |
psychosocial support | 11 |
new challenges | 11 |
will become | 11 |
essential role | 11 |
positive correlation | 11 |
one participant | 11 |
reported cases | 11 |
epidemiological studies | 11 |
learning techniques | 11 |
cell phone | 11 |
unemployment rate | 11 |
social theory | 11 |
racial ethnic | 11 |
media channels | 11 |
stressful events | 11 |
family therapy | 11 |
research council | 11 |
shedding rate | 11 |
training programs | 11 |
health planning | 11 |
younger age | 11 |
moderated mediation | 11 |
distancing responses | 11 |
quantitative data | 11 |
scored high | 11 |
neural mechanisms | 11 |
connected individuals | 11 |
often used | 11 |
study group | 11 |
van ijzendoorn | 11 |
content validity | 11 |
disability status | 11 |
prevention measures | 11 |
antibiotic use | 11 |
low physical | 11 |
may even | 11 |
association logs | 11 |
international conference | 11 |
two ways | 11 |
vital role | 11 |
prior literature | 11 |
convenience sample | 11 |
practice social | 11 |
based approaches | 11 |
research center | 11 |
ebola virus | 11 |
media consumption | 11 |
using simulation | 11 |
next generation | 11 |
preliminary results | 11 |
coronavirus infection | 11 |
decision makers | 11 |
just one | 11 |
develop new | 11 |
behavioral interventions | 11 |
online communications | 11 |
susceptible population | 11 |
also observed | 11 |
central government | 11 |
political action | 11 |
social safety | 11 |
socially learned | 11 |
social forces | 11 |
helping people | 11 |
section describes | 11 |
environ res | 11 |
going beyond | 11 |
time work | 11 |
large part | 11 |
census data | 11 |
support related | 11 |
socially connected | 11 |
critical condition | 11 |
place orders | 11 |
new memberships | 11 |
critical review | 11 |
human interaction | 11 |
less important | 11 |
allow us | 11 |
shared social | 11 |
sustainable consumption | 11 |
working conditions | 11 |
systematic literature | 11 |
prime minister | 11 |
common cold | 11 |
local geo | 11 |
global public | 11 |
uk government | 11 |
distancing may | 11 |
online information | 11 |
two items | 11 |
target population | 11 |
swine flu | 11 |
depression among | 11 |
crisis situation | 11 |
first social | 11 |
may well | 11 |
prevention strategies | 11 |
outcome measures | 11 |
disaster research | 11 |
status quo | 11 |
res public | 11 |
conducted using | 11 |
equation model | 11 |
following questions | 11 |
civil affairs | 11 |
standard sir | 11 |
also become | 11 |
use data | 11 |
articles published | 11 |
women living | 11 |
regional office | 11 |
lower socioeconomic | 11 |
security system | 11 |
population size | 11 |
patient safety | 11 |
relative importance | 11 |
different kinds | 11 |
might affect | 11 |
related health | 11 |
generate new | 11 |
shed light | 11 |
regression model | 11 |
minimum wage | 11 |
several countries | 11 |
integrative review | 11 |
april th | 11 |
root causes | 11 |
chronic conditions | 11 |
power relations | 11 |
negative affect | 11 |
pharmacy education | 11 |
working class | 11 |
allostatic load | 11 |
care medicine | 11 |
participatory processes | 11 |
communication channel | 11 |
central china | 11 |
covid pandemic | 11 |
understand social | 11 |
exponential growth | 11 |
qualitative methods | 11 |
become increasingly | 11 |
informal social | 11 |
suicide prevention | 11 |
infected individual | 11 |
text messages | 11 |
small world | 11 |
health related | 11 |
work together | 11 |
value creation | 11 |
inclusion criteria | 11 |
take part | 11 |
free time | 11 |
level local | 11 |
social actions | 11 |
assistance network | 11 |
current global | 11 |
person living | 11 |
project repat | 11 |
critical state | 11 |
positive affect | 11 |
may experience | 11 |
information seeking | 11 |
statistical analysis | 11 |
relationship quality | 11 |
personal well | 11 |
ecological ceiling | 11 |
us population | 11 |
new technology | 11 |
employment sectors | 11 |
last year | 11 |
preventive services | 11 |
social actors | 11 |
incidence rate | 11 |
mers preventive | 11 |
related research | 11 |
hospital care | 10 |
gives rise | 10 |
networks across | 10 |
virus transmission | 10 |
exclusion criteria | 10 |
service users | 10 |
distancing regulations | 10 |
demographic information | 10 |
analysis social | 10 |
health behaviours | 10 |
linear models | 10 |
several important | 10 |
also allows | 10 |
positive patients | 10 |
protective factor | 10 |
ghg emissions | 10 |
social partners | 10 |
moderating role | 10 |
procedural justice | 10 |
based view | 10 |
cultural diversity | 10 |
multiple sources | 10 |
loneliness scale | 10 |
variable coding | 10 |
based practice | 10 |
competitive advantage | 10 |
experimental evidence | 10 |
confirmed covid | 10 |
much less | 10 |
severe cases | 10 |
highest level | 10 |
vervet monkeys | 10 |
complex system | 10 |
sampling method | 10 |
positively related | 10 |
may vary | 10 |
migrant day | 10 |
new approach | 10 |
one particular | 10 |
taking place | 10 |
reduce anxiety | 10 |
research conducted | 10 |
model parameters | 10 |
natural disaster | 10 |
distancing policy | 10 |
sex interactions | 10 |
news sources | 10 |
psychological consequences | 10 |
home care | 10 |
early adolescence | 10 |
contact rates | 10 |
tipping point | 10 |
also see | 10 |
wealth distribution | 10 |
media networks | 10 |
within countries | 10 |
time social | 10 |
mental state | 10 |
poor people | 10 |
child sexual | 10 |
societal environment | 10 |
species richness | 10 |
cash transfer | 10 |
theoretical perspective | 10 |
effective vaccination | 10 |
google scholar | 10 |
justice system | 10 |
weekend social | 10 |
smartphone apps | 10 |
mean score | 10 |
psychological symptoms | 10 |
increase social | 10 |
basic human | 10 |
chinese people | 10 |
ethical approval | 10 |
determination theory | 10 |
parasite species | 10 |
disaster reduction | 10 |
business cycles | 10 |
low resilience | 10 |
diffusion patterns | 10 |
information available | 10 |
public services | 10 |
western societies | 10 |
related moral | 10 |
animal shelters | 10 |
waste management | 10 |
findings highlight | 10 |
specific groups | 10 |
st century | 10 |
among social | 10 |
good society | 10 |
whether people | 10 |
case data | 10 |
working hours | 10 |
health concerns | 10 |
media communication | 10 |
common method | 10 |
associated factors | 10 |
dwelling adults | 10 |
initial stage | 10 |
network theory | 10 |
epidemic outbreaks | 10 |
many older | 10 |
support systems | 10 |
academic achievement | 10 |
health disorders | 10 |
successful aging | 10 |
times higher | 10 |
colony size | 10 |
may become | 10 |
promoting social | 10 |
online platform | 10 |
adults may | 10 |
reduce risk | 10 |
text classification | 10 |
scientific evidence | 10 |
survey design | 10 |
health facilities | 10 |
health challenges | 10 |
high trust | 10 |
drug treatment | 10 |
economic impacts | 10 |
greater social | 10 |
nutritious food | 10 |
fukushima case | 10 |
various aspects | 10 |
basic reproduction | 10 |
mers situation | 10 |
public places | 10 |
scientific literature | 10 |
psychological resilience | 10 |
also include | 10 |
work education | 10 |
risk populations | 10 |
related outcomes | 10 |
encourage people | 10 |
measures taken | 10 |
important part | 10 |
open government | 10 |
international trade | 10 |
chinese medical | 10 |
workers may | 10 |
advisory group | 10 |
heavy metals | 10 |
personal health | 10 |
modelling study | 10 |
public administration | 10 |
developing country | 10 |
quantum physics | 10 |
qualitative content | 10 |
three different | 10 |
relationships may | 10 |
psqi score | 10 |
news stories | 10 |
individuals will | 10 |
increasing social | 10 |
effective social | 10 |
selected articles | 10 |
impulse response | 10 |
social threat | 10 |
psychological factors | 10 |
episodic memory | 10 |
distance traveled | 10 |
critical social | 10 |
school professionals | 10 |
three studies | 10 |
business opportunities | 10 |
important issue | 10 |
susceptible individuals | 10 |
support provided | 10 |
term effects | 10 |
companion pets | 10 |
study aims | 10 |
extreme events | 10 |
also suggests | 10 |
low level | 10 |
carbon footprint | 10 |
people may | 10 |
coping mechanism | 10 |
network logs | 10 |
two variables | 10 |
online news | 10 |
results revealed | 10 |
influence social | 10 |
first measured | 10 |
process information | 10 |
heat wave | 10 |
development index | 10 |
one year | 10 |
makes sense | 10 |
individual self | 10 |
health organizations | 10 |
control strategy | 10 |
enhance social | 10 |
network models | 10 |
nan sha | 10 |
infection control | 10 |
like twitter | 10 |
behavioral changes | 10 |
fatality rates | 10 |
close proximity | 10 |
younger respondents | 10 |
reliable information | 10 |
development perspective | 10 |
awareness among | 10 |
distancing rules | 10 |
mood tracking | 10 |
via resilience | 10 |
competing interests | 10 |
care staff | 10 |
stress disorder | 10 |
minority groups | 10 |
drinking water | 10 |
immune response | 10 |
sex crimes | 10 |
primate social | 10 |
scores indicate | 10 |
environmental degradation | 10 |
insurance fund | 10 |
worker centres | 10 |
effective crisis | 10 |
job retention | 10 |
human vulnerability | 10 |
hospital beds | 10 |
face contact | 10 |
current findings | 10 |
coarse collocation | 10 |
rated anxiety | 10 |
research program | 10 |
aging population | 10 |
exploratory study | 10 |
mers outbreak | 10 |
study results | 10 |
ata declaration | 10 |
two reasons | 10 |
response system | 10 |
parasite risk | 10 |
also indicated | 10 |
generational stereotypes | 10 |
birth cohort | 10 |
also includes | 10 |
many factors | 10 |
may find | 10 |
mob lynching | 10 |
retest reliability | 10 |
knowledge economy | 10 |
intended use | 10 |
news source | 10 |
may change | 10 |
health infrastructure | 10 |
economic impact | 10 |
medical professionals | 10 |
managed care | 10 |
institutional review | 10 |
physical inactivity | 10 |
action planning | 10 |
mechanical turk | 10 |
poor physical | 10 |
see appendix | 10 |
distanciamiento social | 10 |
developing nations | 10 |
one group | 10 |
preliminary findings | 10 |
especially relevant | 10 |
important factors | 10 |
new research | 10 |
health shocks | 10 |
work environment | 10 |
clinical care | 10 |
community action | 10 |
distance threshold | 10 |
agent i | 10 |
individual characteristics | 10 |
network structures | 10 |
adversely affect | 10 |
transmission dynamics | 10 |
maintaining social | 10 |
wastewater treatment | 10 |
prospective cohort | 10 |
offender registration | 10 |
precarity politics | 10 |
post hoc | 10 |
less time | 10 |
factor loadings | 10 |
coding whether | 10 |
regarding covid | 10 |
obtain information | 10 |
carbon emissions | 10 |
close relationships | 10 |
key factors | 10 |
may therefore | 10 |
without disability | 10 |
questions regarding | 10 |
loved one | 10 |
community structure | 10 |
emergency department | 10 |
collecting data | 10 |
existing research | 10 |
raising awareness | 10 |
health framework | 10 |
human brain | 10 |
put forth | 10 |
economic policy | 10 |
generational labels | 10 |
processes involved | 10 |
human experience | 10 |
related issues | 10 |
crack users | 10 |
past months | 10 |
market share | 9 |
data using | 9 |
active users | 9 |
neighborhood social | 9 |
stimulated emission | 9 |
social spaces | 9 |
actions taken | 9 |
mu suppression | 9 |
coping mechanisms | 9 |
qualitative researchers | 9 |
large data | 9 |
findings indicate | 9 |
moderating effect | 9 |
economic benefits | 9 |
given time | 9 |
personal protection | 9 |
within aboriginal | 9 |
support rate | 9 |
regarding social | 9 |
disaster risk | 9 |
information processing | 9 |
control measure | 9 |
days stayed | 9 |
two perspectives | 9 |
face meetings | 9 |
potential social | 9 |
comparative statics | 9 |
made possible | 9 |
incubation period | 9 |
news websites | 9 |
australia sample | 9 |
factor model | 9 |
analyzed using | 9 |
president trump | 9 |
data also | 9 |
young adulthood | 9 |
three years | 9 |
even without | 9 |
case finding | 9 |
behavioral patterns | 9 |
communication strategies | 9 |
special section | 9 |
voluntary sector | 9 |
people perceive | 9 |
comparative analyses | 9 |
psychological wellbeing | 9 |
comparative analysis | 9 |
daily cases | 9 |
device location | 9 |
fmri study | 9 |
human resource | 9 |
type scale | 9 |
almost every | 9 |
even within | 9 |
information system | 9 |
study may | 9 |
risk individuals | 9 |
effective way | 9 |
social scientific | 9 |
african countries | 9 |
model effects | 9 |
based survey | 9 |
currently available | 9 |
sharing information | 9 |
direct impact | 9 |
healthy city | 9 |
south asia | 9 |
political values | 9 |
time frame | 9 |
people within | 9 |
rural residents | 9 |
three times | 9 |
structural factors | 9 |
adverse outcomes | 9 |
concurrent validity | 9 |
close social | 9 |
global sustainable | 9 |
health events | 9 |
diffusion processes | 9 |
built environment | 9 |
developmental trajectories | 9 |
comparative fit | 9 |
studies used | 9 |
antibiotic resistome | 9 |
like fear | 9 |
since social | 9 |
daily lives | 9 |
government officials | 9 |
three factors | 9 |
political theory | 9 |
urban environments | 9 |
factors including | 9 |
may come | 9 |
parasite transmission | 9 |
early warning | 9 |
social influences | 9 |
human mobility | 9 |
research shows | 9 |
outcomes among | 9 |
depression scale | 9 |
online users | 9 |
side effects | 9 |
although social | 9 |
training data | 9 |
just transition | 9 |
social volunteers | 9 |
family violence | 9 |
strict social | 9 |
paper waste | 9 |
based vaccination | 9 |
digital interventions | 9 |
opinion leaders | 9 |
sas score | 9 |
health may | 9 |
countries around | 9 |
us samples | 9 |
distancing strategies | 9 |
people believe | 9 |
time point | 9 |
health hazards | 9 |
local context | 9 |
water supply | 9 |
communication channels | 9 |
autonomous citizenship | 9 |
preprint supplemental | 9 |
people might | 9 |
studies showing | 9 |
provide evidence | 9 |
minority status | 9 |
support given | 9 |
fatality rate | 9 |
total scores | 9 |
political institutions | 9 |
social process | 9 |
local residents | 9 |